Water Quality Explanatory Data Analaysis

For humanity life , people always researched many different things.This subject about water quality for humanity.Actually we are going to looking for true or false water. This is first my project and I am beginner a Data Scientist.I hope so I made it.

Water Quality

What will learn from this project ?

Introduction

Features

Analysis Content

  1. #### Libraries
  2. #### Import Data Set
  3. #### Visualizations
  4. #### Data Preparation
  5. #### Model and Predict

Libraries

Importing Data Set

Ranges of variables

Corr : Effects of variables on dependent variable


Visualizations

By separating the pH from 7 as smaller and larger, we have carried out an examination of the effect on quality and poor quality water.

Although this visualization is not a very accurate result, it is only for an overview.


Data Preparation

We analyze the missing data, and we will be performing the filling process with machine learning on the missing data.

As we have seen,

By using KNN Impute, we have performed the deletion of missing data in the data set.

I will keep going with "df".

Model and Predict

Standardizing The Data

Conclusion

SVC and KNN worked the best to train the model

Thank You